S. Turek, Dominik Göddeke, S. Buijssen, Hilmar Wobker
{"title":"gpu加速集群上面向硬件的多网格有限元求解器","authors":"S. Turek, Dominik Göddeke, S. Buijssen, Hilmar Wobker","doi":"10.1201/B10376-17","DOIUrl":null,"url":null,"abstract":"The accurate simulation of real-world phenomena in computational science is often based on an underlying mathematical model comprising a system of partial differential equations (PDEs). Important research fields that we pursue in this setting are computational solid mechanics and computational fluid dynamics (CSM and CFD, see Section 3). Practical applications range from material failure tests, as for instance crash tests in the automotive industry, to fluid and gas flow of any kind, for instance in chemical or medical engineering (e. g., simulation of blood flow in the human body to predict aneurysms) or flow around cars and aircrafts to minimize drag and lift forces. Moreover, the coupling of both models is essential for fluid structure interaction settings (FSI) which represent problem fields of very high technological importance. Such configurations include polymer processing or microfluidic problems exhibiting very complex multiscale behavior due to nonlinear rheological or non-isothermal constitutive laws, and also due to self-induced oscillations of the structural parts in the flow field. In all these cases, the fluid part is mostly laminar, but highly viscous.","PeriodicalId":411793,"journal":{"name":"Scientific Computing with Multicore and Accelerators","volume":"13 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters\",\"authors\":\"S. Turek, Dominik Göddeke, S. Buijssen, Hilmar Wobker\",\"doi\":\"10.1201/B10376-17\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The accurate simulation of real-world phenomena in computational science is often based on an underlying mathematical model comprising a system of partial differential equations (PDEs). Important research fields that we pursue in this setting are computational solid mechanics and computational fluid dynamics (CSM and CFD, see Section 3). Practical applications range from material failure tests, as for instance crash tests in the automotive industry, to fluid and gas flow of any kind, for instance in chemical or medical engineering (e. g., simulation of blood flow in the human body to predict aneurysms) or flow around cars and aircrafts to minimize drag and lift forces. Moreover, the coupling of both models is essential for fluid structure interaction settings (FSI) which represent problem fields of very high technological importance. Such configurations include polymer processing or microfluidic problems exhibiting very complex multiscale behavior due to nonlinear rheological or non-isothermal constitutive laws, and also due to self-induced oscillations of the structural parts in the flow field. In all these cases, the fluid part is mostly laminar, but highly viscous.\",\"PeriodicalId\":411793,\"journal\":{\"name\":\"Scientific Computing with Multicore and Accelerators\",\"volume\":\"13 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Scientific Computing with Multicore and Accelerators\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1201/B10376-17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Scientific Computing with Multicore and Accelerators","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1201/B10376-17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hardware-Oriented Multigrid Finite Element Solvers on GPU-Accelerated Clusters
The accurate simulation of real-world phenomena in computational science is often based on an underlying mathematical model comprising a system of partial differential equations (PDEs). Important research fields that we pursue in this setting are computational solid mechanics and computational fluid dynamics (CSM and CFD, see Section 3). Practical applications range from material failure tests, as for instance crash tests in the automotive industry, to fluid and gas flow of any kind, for instance in chemical or medical engineering (e. g., simulation of blood flow in the human body to predict aneurysms) or flow around cars and aircrafts to minimize drag and lift forces. Moreover, the coupling of both models is essential for fluid structure interaction settings (FSI) which represent problem fields of very high technological importance. Such configurations include polymer processing or microfluidic problems exhibiting very complex multiscale behavior due to nonlinear rheological or non-isothermal constitutive laws, and also due to self-induced oscillations of the structural parts in the flow field. In all these cases, the fluid part is mostly laminar, but highly viscous.